Ewa Lech‐Marańda
About
In The Last Decade
Ewa Lech‐Marańda
113 papers receiving 1.6k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ewa Lech‐Marańda Poland | 25 | 511 | 493 | 479 | 437 | 421 | 134 | 1.7k | ||
| Eric Van Den Neste Belgium | 23 | 641 1.3× | 592 1.2× | 448 0.9× | 384 0.9× | 450 1.1× | 79 | 1.6k | ||
| Roberto Cairoli Italy | 22 | 725 1.4× | 703 1.4× | 446 0.9× | 516 1.2× | 302 0.7× | 130 | 2.1k | ||
| Vincent Ribrag France | 19 | 382 0.7× | 505 1.0× | 854 1.8× | 390 0.9× | 907 2.2× | 80 | 1.9k | ||
| S.A. Johnson United Kingdom | 21 | 774 1.5× | 411 0.8× | 587 1.2× | 716 1.6× | 456 1.1× | 35 | 2.0k | ||
| Todd Covey United States | 14 | 556 1.1× | 318 0.6× | 487 1.0× | 663 1.5× | 301 0.7× | 33 | 1.4k | ||
| Michael Doubek Czechia | 23 | 984 1.9× | 612 1.2× | 676 1.4× | 510 1.2× | 519 1.2× | 169 | 2.3k | ||
| E. Thiel Germany | 28 | 352 0.7× | 698 1.4× | 442 0.9× | 425 1.0× | 646 1.5× | 121 | 2.5k | ||
| Tanya Trippett United States | 24 | 235 0.5× | 580 1.2× | 380 0.8× | 197 0.5× | 655 1.6× | 79 | 1.9k | ||
| Hyeoung‐Joon Kim South Korea | 29 | 524 1.0× | 1.0k 2.1× | 436 0.9× | 957 2.2× | 909 2.2× | 213 | 3.0k | ||
| Mariagrazia Michieli Italy | 24 | 376 0.7× | 527 1.1× | 553 1.2× | 162 0.4× | 1.2k 2.8× | 107 | 1.9k |
Countries citing papers authored by Ewa Lech‐Marańda
This map shows the geographic impact of Ewa Lech‐Marańda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ewa Lech‐Marańda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Lech‐Marańda more than expected).
Fields of papers citing papers by Ewa Lech‐Marańda
This network shows the impact of papers produced by Ewa Lech‐Marańda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ewa Lech‐Marańda. The network helps show where Ewa Lech‐Marańda may publish in the future.
Co-authorship network of co-authors of Ewa Lech‐Marańda
This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Lech‐Marańda. A scholar is included among the top collaborators of Ewa Lech‐Marańda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ewa Lech‐Marańda. Ewa Lech‐Marańda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.